Stellenticket Freie Universität Berlin

The team around Priv.-Doz. Dr. med. Felix Krenzien and Christian Benzing is working on the evaluation and validation of a decision support system based on linguistic and semantic methods of artificial intelligence (AI) for interdisciplinary tumor conferences. Natural Language Processing and Machine Learning will provide the technical basis for data extraction, data filtration and decision support for the automated generation of therapy recommendations. The project is being carried out in cooperation with the German Research Center for Artificial Intelligence (Deutsches Forschungszentrum für Künstliche Intelligenz, DFKI).

Our research group, currently consisting of medical doctoral students and physicians, is an integral part of the "Experimental Surgery" section of the Department of Surgery at Charité - Universitätsmedizin Berlin. You will be working in a dedicated, interdisciplinary and inclusive team, with the excellent infrastructure of Charité - Universitätsmedizin Berlin and the Berlin Institute of Health (BIH). The special expertise of the hospital includes the surgical therapy of liver and pancreatic tumors. In the section "Experimental Surgery", the Living-Lab Future OR is operated with a focus on digital, image-guided surgical procedures and technical solutions in the field of robotics.

Your scope of work is:

• Creating robust and reusable interfaces to clinical systems of the participating departments.
• Ensuring interoperability of the systems involved
• Conception, development and implementation of machine learning-based models in oncological data science
• Collaboration in research projects
• Publication of research results

The achievement of a doctorate as Dr. rer. medic or as MD/PhD is explicitly supported.Scientific employees are given sufficient time for their own scientific work in accordance with their employment contract.

• You have successfully completed a degree in computer science or a comparable academic field (e.g. medical informatics, bioinformatics) or you can provide comparable and verifiable experience.
• You find working in a medical and scientific environment appealing and challenging, or you already have professional experience in this area.
• You have an intrinsic motivation for the development, quality assurance and provision of large and complex data sets, as required for data science, clinical research and process optimization in patient care.
• Ideally, you are already familiar with data architectures and working methods from the Big Data environment. You can also imagine developing in an agile team
• Very good English knowledges

Personal competencies:

• Enthusiasm for innovation and high motivation, determined working style
• Ability to work in a team
• Independent work and ability to think analytically Translated with www.DeepL.com/Translator (free version)

PD Dr. Felix Krenzien: felix.krenzien@charite.de
PD Dr. Christian Benzing: christian.benzing@charite.de

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